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--- |
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task_categories: |
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- image-classification |
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pretty_name: Multilingual Document Type Classification |
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size_categories: |
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- 10K<n<100K |
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language: |
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- ar |
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- bg |
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- de |
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- en |
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- es |
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- fr |
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- hi |
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- it |
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- ja |
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- ru |
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- zh |
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tags: |
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- document-classification |
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- computer-vision |
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- multilingual |
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--- |
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# DocLang: Multilingual Document Type Classification |
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A multilingual document type classification dataset for identifying various document and visual content types. The dataset contains 13,200 images across 11 languages, with 1,200 images per language. |
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## Dataset Structure |
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The dataset is organized by language code: |
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- `ar/` - Arabic (1,200 images) |
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- `bg/` - Bulgarian (1,200 images) |
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- `de/` - German (1,200 images) |
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- `en/` - English (1,200 images) |
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- `es/` - Spanish (1,200 images) |
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- `fr/` - French (1,200 images) |
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- `hi/` - Hindi (1,200 images) |
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- `it/` - Italian (1,200 images) |
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- `ja/` - Japanese (1,200 images) |
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- `ru/` - Russian (1,200 images) |
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- `zh/` - Chinese (1,200 images) |
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All images are in JPG format and represent the **test split**. |
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## Task |
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This dataset is designed for image-based document type classification. |
